A novel fault-tolerant control strategy for near space hypersonic vehicles via least squares support vector machine and backstepping method

Jia Song; Jiaming Lin; Erfu Yang

doi:10.1109/IConAC.2016.7604914

A novel fault-tolerant control strategy for near space hypersonic vehicles via least squares support vector machine and backstepping method

Jia Song, Jiaming Lin, Erfu Yang

Design, Manufacturing And Engineering Management

Research output: Contribution to conference › Paper › peer-review

2 Citations (Scopus)

135 Downloads (Pure)

Abstract

Near Space Hypersonic Vehicle (NSHV) could play significant roles in both military and civilian applications. It may cause huge losses of both personnel and property when a fatal fault occurs. It is therefore paramount to conduct fault-tolerant research for NSHV and avoid some catastrophic events. Toward this end, this paper presents a novel fault-tolerant control strategy by using the LSSVM (Least Squares Support Vector Machine)-based inverse system and Backstepping method. The control system takes advantage of the superiority of the LSSVM in solving the problems with small samples, high dimensions and local minima. The inverse system is built with an improved LSSVM. The adaptive controller is designed via the Backstepping which has the unique capability in dealing with nonlinear control systems. Finally, the experiment results demonstrate that the proposed method performs well.

Original language	English
Pages	174-182
Number of pages	9
DOIs	https://doi.org/10.1109/IConAC.2016.7604914
Publication status	Published - 24 Oct 2016
Event	22nd International Conference on Automation and Computing, ICAC 2016 - University of Essex, Colchester, United Kingdom Duration: 7 Sep 2016 → 8 Sep 2016 http://www.cacsuk.co.uk/index.php/conferences

Conference

Conference	22nd International Conference on Automation and Computing, ICAC 2016
Abbreviated title	ICAC 2016
Country/Territory	United Kingdom
City	Colchester
Period	7/09/16 → 8/09/16
Internet address	http://www.cacsuk.co.uk/index.php/conferences

Keywords

near space hypersonic vehicle
least squares support vector machine;
inverse system control
fault-tolerant control
fault tolerance
backstepping
control systems
attitude control
mathematical model
nonlinear control systems

Access to Document

10.1109/IConAC.2016.7604914

Song-etal-ICAC-2016-fault-tolerant-control-strategy-for-near-space-hypersonic-vehiclesAccepted author manuscript, 1.56 MB

Cite this

@conference{cd0cba653d0845deb1778d9f19e81ed6,

title = "A novel fault-tolerant control strategy for near space hypersonic vehicles via least squares support vector machine and backstepping method",

abstract = "Near Space Hypersonic Vehicle (NSHV) could play significant roles in both military and civilian applications. It may cause huge losses of both personnel and property when a fatal fault occurs. It is therefore paramount to conduct fault-tolerant research for NSHV and avoid some catastrophic events. Toward this end, this paper presents a novel fault-tolerant control strategy by using the LSSVM (Least Squares Support Vector Machine)-based inverse system and Backstepping method. The control system takes advantage of the superiority of the LSSVM in solving the problems with small samples, high dimensions and local minima. The inverse system is built with an improved LSSVM. The adaptive controller is designed via the Backstepping which has the unique capability in dealing with nonlinear control systems. Finally, the experiment results demonstrate that the proposed method performs well.",

keywords = "near space hypersonic vehicle, least squares support vector machine;, inverse system control, fault-tolerant control, fault tolerance, backstepping, control systems, attitude control, mathematical model, nonlinear control systems",

author = "Jia Song and Jiaming Lin and Erfu Yang",

note = "{\textcopyright} 2016 IEEE. Personal use of this ma terial is permitted. Permission from IEEE must be obtained for al l other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, f or resale or redistribution to se rvers or lists, or reuse of any copyrighted compone nt of this work in other works; 22nd International Conference on Automation and Computing, ICAC 2016, ICAC 2016 ; Conference date: 07-09-2016 Through 08-09-2016",

year = "2016",

month = oct,

day = "24",

doi = "10.1109/IConAC.2016.7604914",

language = "English",

pages = "174--182",

url = "http://www.cacsuk.co.uk/index.php/conferences",

}

A novel fault-tolerant control strategy for near space hypersonic vehicles via least squares support vector machine and backstepping method. / Song, Jia; Lin, Jiaming; Yang, Erfu.

2016. 174-182 Paper presented at 22nd International Conference on Automation and Computing, ICAC 2016, Colchester, United Kingdom.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - A novel fault-tolerant control strategy for near space hypersonic vehicles via least squares support vector machine and backstepping method

AU - Song, Jia

AU - Lin, Jiaming

AU - Yang, Erfu

N1 - © 2016 IEEE. Personal use of this ma terial is permitted. Permission from IEEE must be obtained for al l other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, f or resale or redistribution to se rvers or lists, or reuse of any copyrighted compone nt of this work in other works

PY - 2016/10/24

Y1 - 2016/10/24

N2 - Near Space Hypersonic Vehicle (NSHV) could play significant roles in both military and civilian applications. It may cause huge losses of both personnel and property when a fatal fault occurs. It is therefore paramount to conduct fault-tolerant research for NSHV and avoid some catastrophic events. Toward this end, this paper presents a novel fault-tolerant control strategy by using the LSSVM (Least Squares Support Vector Machine)-based inverse system and Backstepping method. The control system takes advantage of the superiority of the LSSVM in solving the problems with small samples, high dimensions and local minima. The inverse system is built with an improved LSSVM. The adaptive controller is designed via the Backstepping which has the unique capability in dealing with nonlinear control systems. Finally, the experiment results demonstrate that the proposed method performs well.

AB - Near Space Hypersonic Vehicle (NSHV) could play significant roles in both military and civilian applications. It may cause huge losses of both personnel and property when a fatal fault occurs. It is therefore paramount to conduct fault-tolerant research for NSHV and avoid some catastrophic events. Toward this end, this paper presents a novel fault-tolerant control strategy by using the LSSVM (Least Squares Support Vector Machine)-based inverse system and Backstepping method. The control system takes advantage of the superiority of the LSSVM in solving the problems with small samples, high dimensions and local minima. The inverse system is built with an improved LSSVM. The adaptive controller is designed via the Backstepping which has the unique capability in dealing with nonlinear control systems. Finally, the experiment results demonstrate that the proposed method performs well.

KW - near space hypersonic vehicle

KW - least squares support vector machine;

KW - inverse system control

KW - fault-tolerant control

KW - fault tolerance

KW - backstepping

KW - control systems

KW - attitude control

KW - mathematical model

KW - nonlinear control systems

UR - http://www.scopus.com/inward/record.url?scp=84999024977&partnerID=8YFLogxK

U2 - 10.1109/IConAC.2016.7604914

DO - 10.1109/IConAC.2016.7604914

M3 - Paper

SP - 174

EP - 182

T2 - 22nd International Conference on Automation and Computing, ICAC 2016

Y2 - 7 September 2016 through 8 September 2016

ER -

A novel fault-tolerant control strategy for near space hypersonic vehicles via least squares support vector machine and backstepping method

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this